SWELL: An open-access experimental dataset for arrays of wave energy conversion systems
- Autores
- Faedo, Nicolás Ezequiel; Peña Sanchez, Yerai; Pasta, Edoardo; Papini, Guglielmo; Mosquera, Facundo; Ferri, Francesco
- Año de publicación
- 2023
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Achieving large-scale commercial exploitation of ocean wave energy inherently encompasses the design and deployment of arrays of wave energy converters (WECs), in an effort to reduce the associated levelised cost of energy. In this context, understanding the interactions between devices in a controlled WEC array is hence essential to achieve optimal layout configurations, as well as to provide guidance on the area required for array installation, reliability, life-time, and overall cost of the farm. Successful achievement of these vital objectives for the wave energy industry has been constantly aided by the use of appropriate numerical models. Regardless of the specific modelling approach adopted, model reliability is always a major concern: Numerical models need to able be to represent reality to be useful in supporting the different stages of development, hence providing significant results for decision making. To test reliability of a model, experimental results are an invaluable asset for validation. Recognising the striking absence of real-world data concerning arrays of WEC systems, and its inherent value for model validation and data-based modelling purposes, we present, in this paper, an experimental campaign fully conducted with the sole objective of generating and providing an open-access dataset on WEC farms: SWELL (Standardised Wave Energy converter array Learning Library). The generated dataset, included alongside this manuscript, comprises an approximate total of ∼3000 variables and more than ∼108 datapoints, for up to 5 devices in 9 diverse WEC array layouts with different levels of interaction, and 19 carefully selected operating conditions. Four different categories of tests are considered, providing measures of key variables required for model validation and data-based modelling tasks. As such, SWELL provides a crucial resource to achieve confidence in numerical modelling, helping towards creating reliable tools for decision making in the WEC field, hence effectively supporting the pathway towards effective commercialisation of ocean wave energy.
Fil: Faedo, Nicolás Ezequiel. Politecnico di Torino; Italia
Fil: Peña Sanchez, Yerai. Universidad del País Vasco; España
Fil: Pasta, Edoardo. Politecnico di Torino; Italia
Fil: Papini, Guglielmo. Politecnico di Torino; Italia
Fil: Mosquera, Facundo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales. Universidad Nacional de La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales; Argentina
Fil: Ferri, Francesco. Aalborg University; Dinamarca - Materia
-
ARRAY
DATA-BASED MODELLING
FARM
MODEL VALIDATION
WAVE ENERGY
WAVE ENERGY CONVERTERS - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/227210
Ver los metadatos del registro completo
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SWELL: An open-access experimental dataset for arrays of wave energy conversion systemsFaedo, Nicolás EzequielPeña Sanchez, YeraiPasta, EdoardoPapini, GuglielmoMosquera, FacundoFerri, FrancescoARRAYDATA-BASED MODELLINGFARMMODEL VALIDATIONWAVE ENERGYWAVE ENERGY CONVERTERShttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2Achieving large-scale commercial exploitation of ocean wave energy inherently encompasses the design and deployment of arrays of wave energy converters (WECs), in an effort to reduce the associated levelised cost of energy. In this context, understanding the interactions between devices in a controlled WEC array is hence essential to achieve optimal layout configurations, as well as to provide guidance on the area required for array installation, reliability, life-time, and overall cost of the farm. Successful achievement of these vital objectives for the wave energy industry has been constantly aided by the use of appropriate numerical models. Regardless of the specific modelling approach adopted, model reliability is always a major concern: Numerical models need to able be to represent reality to be useful in supporting the different stages of development, hence providing significant results for decision making. To test reliability of a model, experimental results are an invaluable asset for validation. Recognising the striking absence of real-world data concerning arrays of WEC systems, and its inherent value for model validation and data-based modelling purposes, we present, in this paper, an experimental campaign fully conducted with the sole objective of generating and providing an open-access dataset on WEC farms: SWELL (Standardised Wave Energy converter array Learning Library). The generated dataset, included alongside this manuscript, comprises an approximate total of ∼3000 variables and more than ∼108 datapoints, for up to 5 devices in 9 diverse WEC array layouts with different levels of interaction, and 19 carefully selected operating conditions. Four different categories of tests are considered, providing measures of key variables required for model validation and data-based modelling tasks. As such, SWELL provides a crucial resource to achieve confidence in numerical modelling, helping towards creating reliable tools for decision making in the WEC field, hence effectively supporting the pathway towards effective commercialisation of ocean wave energy.Fil: Faedo, Nicolás Ezequiel. Politecnico di Torino; ItaliaFil: Peña Sanchez, Yerai. Universidad del País Vasco; EspañaFil: Pasta, Edoardo. Politecnico di Torino; ItaliaFil: Papini, Guglielmo. Politecnico di Torino; ItaliaFil: Mosquera, Facundo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales. Universidad Nacional de La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales; ArgentinaFil: Ferri, Francesco. Aalborg University; DinamarcaPergamon-Elsevier Science Ltd2023-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/227210Faedo, Nicolás Ezequiel; Peña Sanchez, Yerai; Pasta, Edoardo; Papini, Guglielmo; Mosquera, Facundo; et al.; SWELL: An open-access experimental dataset for arrays of wave energy conversion systems; Pergamon-Elsevier Science Ltd; Renewable Energy; 212; 5-2023; 699-7160960-1481CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S0960148123006924info:eu-repo/semantics/altIdentifier/doi/10.1016/j.renene.2023.05.069info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:10:59Zoai:ri.conicet.gov.ar:11336/227210instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:11:00.227CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
SWELL: An open-access experimental dataset for arrays of wave energy conversion systems |
title |
SWELL: An open-access experimental dataset for arrays of wave energy conversion systems |
spellingShingle |
SWELL: An open-access experimental dataset for arrays of wave energy conversion systems Faedo, Nicolás Ezequiel ARRAY DATA-BASED MODELLING FARM MODEL VALIDATION WAVE ENERGY WAVE ENERGY CONVERTERS |
title_short |
SWELL: An open-access experimental dataset for arrays of wave energy conversion systems |
title_full |
SWELL: An open-access experimental dataset for arrays of wave energy conversion systems |
title_fullStr |
SWELL: An open-access experimental dataset for arrays of wave energy conversion systems |
title_full_unstemmed |
SWELL: An open-access experimental dataset for arrays of wave energy conversion systems |
title_sort |
SWELL: An open-access experimental dataset for arrays of wave energy conversion systems |
dc.creator.none.fl_str_mv |
Faedo, Nicolás Ezequiel Peña Sanchez, Yerai Pasta, Edoardo Papini, Guglielmo Mosquera, Facundo Ferri, Francesco |
author |
Faedo, Nicolás Ezequiel |
author_facet |
Faedo, Nicolás Ezequiel Peña Sanchez, Yerai Pasta, Edoardo Papini, Guglielmo Mosquera, Facundo Ferri, Francesco |
author_role |
author |
author2 |
Peña Sanchez, Yerai Pasta, Edoardo Papini, Guglielmo Mosquera, Facundo Ferri, Francesco |
author2_role |
author author author author author |
dc.subject.none.fl_str_mv |
ARRAY DATA-BASED MODELLING FARM MODEL VALIDATION WAVE ENERGY WAVE ENERGY CONVERTERS |
topic |
ARRAY DATA-BASED MODELLING FARM MODEL VALIDATION WAVE ENERGY WAVE ENERGY CONVERTERS |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/2.2 https://purl.org/becyt/ford/2 |
dc.description.none.fl_txt_mv |
Achieving large-scale commercial exploitation of ocean wave energy inherently encompasses the design and deployment of arrays of wave energy converters (WECs), in an effort to reduce the associated levelised cost of energy. In this context, understanding the interactions between devices in a controlled WEC array is hence essential to achieve optimal layout configurations, as well as to provide guidance on the area required for array installation, reliability, life-time, and overall cost of the farm. Successful achievement of these vital objectives for the wave energy industry has been constantly aided by the use of appropriate numerical models. Regardless of the specific modelling approach adopted, model reliability is always a major concern: Numerical models need to able be to represent reality to be useful in supporting the different stages of development, hence providing significant results for decision making. To test reliability of a model, experimental results are an invaluable asset for validation. Recognising the striking absence of real-world data concerning arrays of WEC systems, and its inherent value for model validation and data-based modelling purposes, we present, in this paper, an experimental campaign fully conducted with the sole objective of generating and providing an open-access dataset on WEC farms: SWELL (Standardised Wave Energy converter array Learning Library). The generated dataset, included alongside this manuscript, comprises an approximate total of ∼3000 variables and more than ∼108 datapoints, for up to 5 devices in 9 diverse WEC array layouts with different levels of interaction, and 19 carefully selected operating conditions. Four different categories of tests are considered, providing measures of key variables required for model validation and data-based modelling tasks. As such, SWELL provides a crucial resource to achieve confidence in numerical modelling, helping towards creating reliable tools for decision making in the WEC field, hence effectively supporting the pathway towards effective commercialisation of ocean wave energy. Fil: Faedo, Nicolás Ezequiel. Politecnico di Torino; Italia Fil: Peña Sanchez, Yerai. Universidad del País Vasco; España Fil: Pasta, Edoardo. Politecnico di Torino; Italia Fil: Papini, Guglielmo. Politecnico di Torino; Italia Fil: Mosquera, Facundo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales. Universidad Nacional de La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales; Argentina Fil: Ferri, Francesco. Aalborg University; Dinamarca |
description |
Achieving large-scale commercial exploitation of ocean wave energy inherently encompasses the design and deployment of arrays of wave energy converters (WECs), in an effort to reduce the associated levelised cost of energy. In this context, understanding the interactions between devices in a controlled WEC array is hence essential to achieve optimal layout configurations, as well as to provide guidance on the area required for array installation, reliability, life-time, and overall cost of the farm. Successful achievement of these vital objectives for the wave energy industry has been constantly aided by the use of appropriate numerical models. Regardless of the specific modelling approach adopted, model reliability is always a major concern: Numerical models need to able be to represent reality to be useful in supporting the different stages of development, hence providing significant results for decision making. To test reliability of a model, experimental results are an invaluable asset for validation. Recognising the striking absence of real-world data concerning arrays of WEC systems, and its inherent value for model validation and data-based modelling purposes, we present, in this paper, an experimental campaign fully conducted with the sole objective of generating and providing an open-access dataset on WEC farms: SWELL (Standardised Wave Energy converter array Learning Library). The generated dataset, included alongside this manuscript, comprises an approximate total of ∼3000 variables and more than ∼108 datapoints, for up to 5 devices in 9 diverse WEC array layouts with different levels of interaction, and 19 carefully selected operating conditions. Four different categories of tests are considered, providing measures of key variables required for model validation and data-based modelling tasks. As such, SWELL provides a crucial resource to achieve confidence in numerical modelling, helping towards creating reliable tools for decision making in the WEC field, hence effectively supporting the pathway towards effective commercialisation of ocean wave energy. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-05 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/227210 Faedo, Nicolás Ezequiel; Peña Sanchez, Yerai; Pasta, Edoardo; Papini, Guglielmo; Mosquera, Facundo; et al.; SWELL: An open-access experimental dataset for arrays of wave energy conversion systems; Pergamon-Elsevier Science Ltd; Renewable Energy; 212; 5-2023; 699-716 0960-1481 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/227210 |
identifier_str_mv |
Faedo, Nicolás Ezequiel; Peña Sanchez, Yerai; Pasta, Edoardo; Papini, Guglielmo; Mosquera, Facundo; et al.; SWELL: An open-access experimental dataset for arrays of wave energy conversion systems; Pergamon-Elsevier Science Ltd; Renewable Energy; 212; 5-2023; 699-716 0960-1481 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S0960148123006924 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.renene.2023.05.069 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Pergamon-Elsevier Science Ltd |
publisher.none.fl_str_mv |
Pergamon-Elsevier Science Ltd |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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score |
13.070432 |